Diminishing impairments in glucose uptake, mitochondrial content, and ADP-stimulated oxygen flux by mesenchymal stem cell therapy in the infarcted heart
Bibliographic record
Abstract
A constant provision of ATP is of necessity for cardiac contraction. As the heart progresses toward failure following a myocardial infarction (MI), it undergoes metabolic alterations that have the potential to compromise the ability to meet energetic demands. This study evaluated the efficacy of mesenchymal stem cell (MSC) transplantation into the infarcted heart to minimize impairments in the metabolic processes that contribute to energy provision. Seven and twenty-eight days following the MI and MSC transplantation, MSC administration minimized cardiac systolic dysfunction. Hyperinsulinemic-euglycemic clamps, coupled with 2-[(14)C]deoxyglucose administration, were employed to assess systemic insulin sensitivity and tissue-specific, insulin-mediated glucose uptake 36 days following the MI in the conscious, unrestrained, C57BL/6 mouse. The improved systolic performance in MSC-treated mice was associated with a preservation of in vivo insulin-stimulated cardiac glucose uptake. Conserved glucose uptake in the heart was linked to the ability of the MSC treatment to diminish the decline in insulin signaling as assessed by Akt phosphorylation. The MSC treatment also sustained mitochondrial content, ADP-stimulated oxygen flux, and mitochondrial oxidative phosphorylation efficiency in the heart. Maintenance of mitochondrial function and density was accompanied by preserved peroxisome proliferator-activated receptor-γ coactivator-1α, a master regulator of mitochondrial biogenesis. These studies provide insight into mechanisms of action that lead to an enhanced energetic state in the infarcted heart following MSC transplantation that may assist in energy provision and dampen cardiac dysfunction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".